Proximal Quasi-Newton Methods for Convex Optimization. - Hiva Ghanbari; Katya Scheinberg (CoRR, 2016)

Black-Box Optimization in Machine Learning with Trust Region Based Derivative Free Algorithm. - Hiva Ghanbari; Katya Scheinberg (CoRR, 2017)

Proximal quasi-Newton methods for regularized convex optimization with linear and accelerated sublinear convergence rates. - Hiva Ghanbari; Katya Scheinberg (Comput. Optim. Appl., 2018)

Directly and Efficiently Optimizing Prediction Error and AUC of Linear Classifiers. - Hiva Ghanbari; Katya Scheinberg (CoRR, 2018)

Novel and Efficient Approximations for Zero-One Loss of Linear Classifiers. - Hiva Ghanbari; Minhan Li; Katya Scheinberg (CoRR, 2019)

A System for Automated Vehicle Damage Localization and Severity Estimation Using Deep Learning. - Yuntao Ma; Hiva Ghanbari; Tianyuan Huang; Jeremy Irvin; Oliver Brady; Sofian Zalouk; Hao Sheng 003; Andrew Y. Ng; Ram Rajagopal; Mayur Narsude (IEEE Trans. Intell. Transp. Syst., 2024)